HTK：这是一个用于构建和操纵隐马尔可夫模型的便携式工具包。
HTK: Delve into this portable toolkit for building and manipulating hidden Markov models.
本文基于隐马尔可夫模型进行图像识别问题的研究。
This paper focuses on the research of image recognition based on the hidden Markov model.
这是一个笔者撰写改进了别人的隐马尔可夫模型算法的程序。
This is a writer writing improvement of the people's hidden Markov model algorithm procedures.
介绍了一种基于振动信号隐马尔可夫模型(HMM)的新的齿轮故障检测和诊断方案。
A new gear fault detection and diagnosis scheme based on Hidden Markov Model (HMM) of vibration signals is introduced.
提出了一种隐马尔可夫模型（HMM）和径向基函数神经网络（RBF）相结合的语音识别新方法。
Presents a new hybrid framework of hidden Markov models (HMM) and radial basis function (RBF) neural networks for speech recognition.
特征肤色的方法是针对彩色图像的人脸检测方法，针对灰度图像本文采用基于隐马尔可夫模型的人脸识别方法来检测人脸。
The eigen skin-color method is for the color images. For gray images, this paper USES face recognition method based on hidden Markov models to detect human faces.
本文提出了将三阶隐马尔可夫模型运用到维吾尔语词性标注中的方法。
This paper describes a method of Uigur part-of-speech tagging with third-order Hidden Markov Model.
针对训练数据来源的多样化，提出了基于多模板隐马尔可夫模型的文本信息抽取算法。
This paper proposes a new algorithm using hidden Markov model for information extraction based on multiple templates due to the variety of training data.
对隐马尔可夫模型训练过程中参数B的优化方法进行改进。
Improve on optimized method of parameter B in the process of HMM training.
提出了一种利用隐马尔可夫模型(HMM)和支持向量机(SVM)的两级指纹分类新方法。
A new two-stage method of fingerprint classification is proposed that is based on hidden Markov model (HMM) and support vector machine (SVM).
基于隐马尔可夫模型的多频率线跟踪算法，能在很低的SNR环境下工作，但量化误差较大，和计算量大。
The HMM based multiple frequency line tracking algorithms of work well under very low SNR, except for a high complexity of computation and for generally unnegligible quantization error.
提出一种隐马尔可夫模型和K -均值聚类混合模型的声目标识别方法。
A recognition method based on HMM and K-means cluster is proposed through extracting LPC characteristic from acoustic target.
隐马尔可夫模型(HMM)在人脸识别中的运用是由HMM在图像定标变化过程中的局部恒定性和人脸的结构所决定的。
The use of hidden Markov models (HMM) for faces is motivated by their partial invariance to variations in scaling and by the structure of faces.
文章提出了一种基于多重隐马尔可夫模型和区域投影变换的手写体汉字识别新方法。
A new approach for handwritten Chinese character recognition based on multiple hidden Markov model classifiers and sub-region projection transform is proposed in the thesis.
由于在语音识别中被广泛应用的隐马尔可夫模型(HMM)是一重马尔可夫模型，它不能充分地描述语音信号的时间相依性。
Since the widely used Hidden Markov model (HMM) in speech recognition is first order Markov model, it can not fully model the temporal dependence of speech signal.
本论文采用隐马尔可夫模型(HMM)来减小解码与解调选择错误。
Decreases decoder and demodulator selection error using a Hidden-Markov Model (HMM) in this paper.
该领域的研究人员通过对隐马尔可夫模型这一数学模型的跨领域应用，解决了自然语言理解中的瓶颈问题。
Researchers apply such mathematic model as Hidden Markov model to this field and solve the key problem in the field of comprehension of natural language.
基于连续隐马尔可夫模型(CHMM)框架的非特定人关键词识别基线系统的构建。
A baseline system of keyword spotting based on Continue Hidden Markov Model (CHMM) is constructed.
文本信息抽取是处理海量文本的重要手段，将隐马尔可夫模型应用到信息抽取领域是一个比较新的研究课题。
Text information extraction is an important method of processing large quantity of text. The application of hidden Markov model to information extraction is a relatively new research topic.
隐马尔可夫模型参数通过期望最大化算法(EM)来估计。
隐马尔可夫模型正在被愈来愈多地引入到生物医学信号的处理中。
Hidden Markov Model is now being applied increasingly in biomedical signal processing.
本文介绍多码本离散隐马尔可夫模型用于含噪声语音识别的研究成果。
A discrete hidden Markov model based on the multiple vector quantization codebooks is used here for speaker-dependent discrete speech recognition in Noisy Environments.
人脸识别方面，本文对在人脸识别中广泛应用的隐马尔可夫模型(HMM)的原理进行了介绍。
A hidden Markov model method (HMM) is used to recognize face in our automated recognition system.
研究了2维隐马尔可夫模型的三个基本问题，包括概率评估问题、最优状态问题和参数估计问题。
The three basic problems of two-dimensional (2-d) hidden Markov models (HMMs) are studied, including probability evaluation, optimal states and parameter estimation.
研究适用于隐马尔可夫模型(HMM)结合多层感知器(mlp)的小词汇量混合语音识别系统的一种简化神经网络结构。
It is applicable to any small vocabulary hybrid speech recognition system that combines hidden Markov model (HMM) with multi-layer perceptron (MLP).
这样，就建立的社会通信的隐马尔可夫模型。
We use hidden Markov Model to simulate Externally-Connected hidden groups.
整个识别过程主要分成两个步骤，首先使用隐马尔可夫模型进行词性标注，然后利用具有优先级别的匹配规则对第一步的结果进行修正和转换。
The whole process was divided into two steps. First to use the hidden Markov model for part-of-speech tagging, and then made use of match rules to amend and convert the result of the HMM step.
针对上述问题，结合隐马尔可夫模型原理，在HTK语音处理工具箱的基础上构建了中英文特定词语音识别系统。
To address the problem above, the speech recognition system has been built on the basis of HTK as well as hidden markov model theory.
为使得隐马尔可夫模型（HMM）能够处理非相邻可见符号之间的依赖关系，将延时机制引入标准的HMM中。
To enable hidden Markov models to account for dependencies between non-adjacent observation symbols, time-delay is introduced to standard high order HMM states.
为使得隐马尔可夫模型（HMM）能够处理非相邻可见符号之间的依赖关系，将延时机制引入标准的HMM中。
To enable hidden Markov models to account for dependencies between non-adjacent observation symbols, time-delay is introduced to standard high order HMM states.
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